Demographic and HIV Status Diversities as Mechanisms of Social Integration and Segregation Among Black Sexual and Gender Minorities Enrolled in a Community-Based Social Network Intervention.

Drawing on a social integration and intersectionality framework, this study advances a dynamic network understanding of the mechanisms that enable differential patterns of within-group social integration and segregation among Black sexual and gender minorities (BSGM). Specifically, in a cohort of BSGM (18-35 years of age, n = 340) participating in a community-based network intervention for HIV prevention, we examine how sexual, gender, age, and HIV status diversities contribute to friendship formation and maintenance patterns over the 12-month study enrollment period. We found attenuated social integration (or social activity) among non-gay-identified and older BSGM and evidence of social segregation (or homophily) on the basis sexual identity and age similarities. Accounting for the moderating effects of the intervention revealed that the attenuated integration of non-gay-identified and older BSGM were stronger for participants who received the peer leadership training and integration challenges were also found for transgender BSGM who received the peer leadership training. Meanwhile, BSGM living with HIV who received the peer leadership training were significantly more integrated than their counterparts in the control arm. These findings help us understand the complicated social fabric among BSGM and the dynamics that interventions for this community may have to contend with or alter.

Diagnosing PrEP Communication Self-Efficacy in a Community-Based Peer Leader Intervention for Black Sexual Minority Men.

HIV prevention interventions that leverage endogenous peer leaders to communicate about Pre-Exposure Prophylaxis (PrEP) and other HIV prevention tools in their social networks offer a way to reach greater portions of communities most impacted by HIV like Black/African American gay, bisexual, same gender-loving, and other sexual minority men (BSMM). However, the success of these interventions hinge on the communication self-efficacy of its peer leaders. In this exploratory study, we present a multi-theoretical framework that situates the PrEP communication self-efficacy (PCSE) of a cohort of young BSMM peer leaders (n = 303) in the context of personal, behavioral, social, and structural factors. Using censored regression models, our analysis shows that PCSE is influenced by evaluations of PrEP itself (its relative advantage, complexity, and compatibility), network embeddedness (degree centrality) among other BSMM, social media network exposure to HIV information, and medical mistrust. We conclude with a discussion of the practical implications of our findings for intervention design and implementation.

The effectiveness of social network interventions for psychiatric patients: A systematic review and meta-analysis.

Strengthening social networks is an important goal in mental health treatment. This study aimed to determine the effectiveness of social network interventions for psychiatric patients. A systematic review and meta-analysis was conducted comparing these interventions with control groups on social and mental health-related outcomes in psychiatric patients. PubMed, EMBASE.com, PsycInfo, Scopus, and IBSS were searched for studies until December 21, 2022. Three-level random effects models were used to obtain Cohen's d mean estimates on composite outcomes of social network and secondary mental health outcomes. Heterogeneity was examined with potential moderators. Thirty-three studies were included. Small-to-moderate effects of social network interventions were detected on positive social network (d = 0.115, p = 0.022) and support (d = 0.159; p = 0.007), general functioning (d = 0.127, p = 0.046), mental health treatment adherence (d = 0.332, p = 0.003), days substance use (d = 0.097, p = 0.004), and abstinence (d = 0.254, p = 0.004). Estimates of psychiatric functioning were higher in samples with more females. The quality of evidence was moderate-to-low. This evidence suggests that social network interventions can improve positive social networks, general functioning, mental health treatment adherence, and substance use in psychiatric patients receiving usual care. PROSPERO ID: CRD42019131959.

The Usefulness of Web-Based Communication Data for Social Network Health Interventions: Agent-Based Modeling Study.

BACKGROUND: Social network interventions are an effective approach to promote physical activity. These interventions are traditionally designed using self-reported peer nomination network data to represent social connections. However, there is unexplored potential in communication data exchanged through web-based messaging apps or social platforms, given the availability of these data, the developments in artificial intelligence to analyze these data, and the shift of personal communication to the web sphere. The implications of using web-based versus offline social networks on the effectiveness of social network interventions remain largely unexplored. OBJECTIVE: This study aims to investigate the differences in the impact of social network interventions on physical activity levels (PALs) between networks derived from web-based communication and peer nomination data. METHODS: We used the data on sociometric questionnaires, messages from a web-based communication app, and PAL (number of steps per day) of 408 participants in 21 school classes. We applied social network analysis to identify influential peers and agent-based modeling to simulate the diffusion of PAL and explore the impact of social network interventions on PAL among adolescents in school classes. Influential peers (n=63) were selected based on centrality measures (ie, in-degree, closeness, and betweenness) to spread the intervention. They received health education, which increased their PAL by 17%. In sensitivity analyses, we tested the impact of a 5%, 10%, and 20% increase in PAL among influential peers. RESULTS: There was a 24%-27% overlap in selected influential peers between the 2 network representations. In general, the simulations showed that interventions could increase PAL by 5.0%-5.8% within 2 months. However, the predicted median impact on PAL was slightly higher in networks based on web-based communication data than peer nomination data for in-degree (5.7%, IQR 5.5%-6.1% vs 5.5%, IQR 5.2%-5.8%; P=.002), betweenness (5.6%, IQR 5.4%-5.9% vs 5.0%, IQR 4.7%-5.3%; P<.001), and closeness centrality (5.8%, IQR 5.6%-6.1% vs 5.3%, IQR 5.0%-5.6%; P<.001). A large variation in impact was observed between school classes (range 1.5%-17.5%). Lowering the effectiveness of health education from 17% to 5% would reduce the overall impact of the social network intervention by 3-fold in both networks. CONCLUSIONS: Our findings showed that network interventions based on web-based communication data could increase PAL. Web-based communication data may therefore be a valuable addition to peer nomination data for future social network intervention design. Artificial intelligence methods, including agent-based modeling, can help to design these network interventions and provide insights into the role of network characteristics in their effectiveness.

Validation of a tool to assess effectiveness of peer-recruitment for hepatitis C testing and linkage to care among people who inject drugs.

OBJECTIVE: People who inject drugs (PWID) have high hepatitis C virus (HCV) infection prevalence but low rates of HCV treatment uptake. To better harness the potential of peer-led social network-based interventions to increase HCV treatment uptake among PWID, simple tools that can help identify individuals with the potential to function effectively as peer-mentors who support network members to get HCV tested and linked to care are needed. METHODS: Data from a survey administered to index PWID enrolled in a social network-based intervention, in which they were invited to recruit drug use network members for HCV testing and linkage to care, was analyzed. Constructs derived from exploratory factor analysis were validated through confirmatory factor analysis (CFA). We used logistic regression analysis to assess the association between scores in identified constructs and subsequent effectiveness in the peer mentor role, defined as recruiting at least one network member for HCV testing and linkage to care in the 12 weeks following survey completion. RESULTS: Among 100 PWID with median age 53 years, 74% male, and 71% Black, CFA resulted in a multidimensional three-factor survey with 4 questions related to opinion leadership, 3 questions related to perceived HCV-related stigma, and 3 questions related to HCV communication comfort and care support willingness. Only self-designated opinion leadership was associated with effectiveness in the peer mentor role (adjusted odds ratio 3.76 (95% Confidence interval CI 1.01, 14.0)). CONCLUSION: We developed and validated a simple tool with potential to ease and improve the efficiency of peer-led social network interventions.

The Co-Evolution of Network Structure and PrEP Adoption among a Large Cohort of PrEP Peer Leaders: Implications for Intervention Evaluation and Community Capacity-Building.

Background: Peer leader interventions are effective strategies for promoting prevention behaviors in communities at risk for HIV, yet little is known about their effects on the social and behavioral dynamics of peer leaders themselves. Methods: Using data from PrEP Chicago, an RCT PrEP for prevention intervention for young Black MSM (YBMSM), we apply stochastic actor-based models to longitudinally model the impact of study participation on the online friendship and PrEP adoption dynamics among a network of peer leaders (n = 174) and a network of control group counterparts (n = 166). Results: Peer leaders assigned to the same leadership training workshop were more likely to form new Facebook friendships with one another, whereas control participants assigned to the same attention control workshop were no more or less likely to form new friendships. Further, peer leaders with greater PrEP intentions and those living with HIV were more active in forming new friendships with other peer leaders, effects not found in the control network. PrEP adoption was not influenced by network dynamics in either group. Conclusions: The implications of these findings are discussed through the lens of community-capacity building and the role that peer leader interventions and the networks they engage can impact public health.

Social capital and health--implications for health promotion.

This article is a review of the PhD Thesis of Malin Eriksson, entitled 'Social capital, health and community action - implications for health promotion.' The article presents a theoretical overview of social capital and its relation to health, reviews empirical findings of the links between social capital and (self-rated) health, and discusses the usefulness of social capital in health promotion interventions at individual and community levels. Social capital, conceptualized as an individual characteristic, can contribute to the field of health promotion by adding new knowledge on how social network interventions may best be designed to meet the needs of the target group. The distinction of different forms of social capital, i.e. bonding, bridging, and linking, can be useful in mapping the kinds of networks that are available and health-enhancing (or damaging) and for whom. Further, social capital can advance social network interventions by acknowledging the risk for unequal distribution of investments and returns from social network involvement. Social capital, conceptualized as characterizing whole communities, provides a useful framework for what constitutes health-supporting environments and guidance on how to achieve them. Mapping and mobilization of social capital in local communities may be one way of achieving community action for health promotion. Social capital is context-bound by necessity. Thus, from a global perspective, it cannot be used as a 'cookbook' on how to achieve supportive environments and community action smoothly. However, social capital can provide new ideas on the processes that influence human interactions, cooperation, and community action for health promotion in various contexts.